Xiaolin Wen
Impact in
- Epidemiology top 5%
- Respiratory viral infections research
- Virology and Viral Diseases
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
- Parvovirus B19 Infection Studies
Papers in ⓘ
-
- Respiratory viral infections research 5
- Virology and Viral Diseases 4
- Influenza Virus Research Studies 2
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- Parvovirus B19 Infection Studies 4
- Viral Infections and Vectors 2
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Theodore S. Jardetzky (10 shared papers)Robert A. Lamb (7 shared papers)Reay G. Paterson (3 shared papers)Hsien-Sheng Yin (2 shared papers)James E. Crowe (5 shared papers)George P. Leser (3 shared papers)Di Xia (2 shared papers)Linda Yu (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Microbiology (1 paper)PLoS ONE (1 paper)Nature Structural & Molecular Biology (1 paper)Cell Host & Microbe (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Xiaolin Wen
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Epidemiology 749
- Infectious Diseases 396
- Virology 97
- Animal Science and Zoology 71
- Genetics 149
Countries citing papers authored by Xiaolin Wen
This map shows the geographic impact of Xiaolin Wen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaolin Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Wen more than expected).
Fields of papers citing papers by Xiaolin Wen
This network shows the impact of papers produced by Xiaolin Wen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaolin Wen. The network helps show where Xiaolin Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin Wen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 350 | |
| 2 | 2005 | 255 | |
| 3 | 2002 | 109 | |
| 4 | 2010 | 74 | |
| 5 | 2021 | 62 | |
| 6 | 2012 | 60 | |
| 7 | 2017 | 60 | |
| 8 | 2021 | 56 | |
| 9 | 2016 | 33 | |
| 10 | 2002 | 26 | |
| 11 | 2016 | 15 | |
| 12 | 2023 | 10 | |
| 13 | 2016 | 4 | |
| 14 | 2010 | 1 |
About Xiaolin Wen
Xiaolin Wen is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Public Health, Environmental and Occupational Health and Surgery, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Respiratory viral infections research (5 papers), Parvovirus B19 Infection Studies (4 papers), Virology and Viral Diseases (4 papers), Mosquito-borne diseases and control (3 papers), Influenza Virus Research Studies (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Viral Infections and Vectors (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Epidemiology (749 citations), Infectious Diseases (396 citations), Virology (97 citations), Animal Science and Zoology (71 citations) and Genetics (149 citations). Xiaolin Wen has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Theodore S. Jardetzky, Robert A. Lamb, Reay G. Paterson, Hsien-Sheng Yin, James E. Crowe, George P. Leser, Di Xia, Linda Yu, Chang‐An Yu and Jarrod J. Mousa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Microbiology, PLoS ONE, Nature Structural & Molecular Biology and Cell Host & Microbe.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.